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Dr.AHMED MAHMOUD FAHIM ABUALEALA

دكتوراه فى فلسفة العلوم (تخصص علوم الحاسب) Associate Professor Department of Computer Sciences College of Sciences In Aflaj
  • Aflaj
  • 011-588-0376
  • a.abualeala@psau.edu.sa
  • Curriculum Vitae
  • Publications

Education

  • Ph.D. Computer sciences

  • Master of Science (M.Sc.),Computer sciences

  • Bachelor of Science (B.Sc.), Department of Mathematics and Computer Sciences

Research Interests

  • Data mining and knowledge Discovery

Experience

  • 2020 - until now - Associate Professor - Prince Sattam Bin Abdulaziz University
  • 2015 - 9/2020 - Assistant Professor - Prince Sattam Bin Abdulaziz University
  • 2010 - until now - Assistant Professor - Suez University
  • 2004 - 2010 - Lecturer - Suez Canal University
  • 2003 - 2004 - Demonstrator - Suez Canal University

Publications

  • Fahim A., "An Extended DBSCAN Clustering Algorithm",International Journal of Advanced Computer Science and Applications, 2022, 13(3), pp. 245–258
  • Fahim A., "K and starting means for k-means algorithm", Journal of Computational Science, vol. 55 (2021) 101445, https://doi.org/10.1016/j.jocs.2021.101445.
  • Saeed M. M., Fahim A., “Designing a smart system for building student’s schedule-An application at Neelain University.” International Journal of Advanced and Applied Sciences, vol. 8 No. 1, 2021, pp. 82-94.
  • Fahim A., "A Clustering Algorithm for Varied Density Clusters based on Similarity of Local Density of Objects," 2020 4th International Conference on Intelligent Computing and Control Systems (ICICCS), Madurai, India, 2020, pp. 26-31, doi: 10.1109/ICICCS48265.2020.9121008.
  • Fahim A. (2020) A Clustering Algorithm for Multi-density Datasets. In: Jain L., Peng SL., Alhadidi B., Pal S. (eds) Intelligent Computing Paradigm and Cutting-edge Technologies. ICICCT 2019. Learning and Analytics in Intelligent Systems, vol 9. Springer, Cham. https://doi.org/10.1007/978-3-030-38501-9_2
  • Fahim A., “Clustering Algorithm for Multi-density Datasets”, Romanian Journal of Information Science and Technology, Vol. 22, No 3–4, 2019, pp. 244–258.
  • Fahim A., “K-Nearest Clustering Algorithm”, International Journal of Computer Science Engineering (IJCSE), Vol. 8, No.02 Mar-Apr 2019, pp. 70-78.
  • Fahim A., “Homogeneous Densities Clustering Algorithm”, International Journal of Information Technology and Computer Science (IJITCS), Vol.10, No.10, 2018, pp.1-10. DOI: 10.5815/ijitcs.2018.10.01
  • Fahim A. “A Clustering Algorithm based on Local Density of Points”, International Journal of Modern Education and Computer Science, Vol. 9(12), December 2017, pp.9-16.
  • Fahim A., “An Efficient Parallel K-Means on Multi-Core Processors”, International Journal of Science, Engineering and Technology Research (IJSETR), Volume 4, Issue 12, December 2015, pp. 4234- 4241.
  • Fahim A. “A clustering Algorithm for Discovering Varied Density Clusters” international research journal of engineering and technology, vol. 2(8), November 2015, pp. 566-573.
  • Farahat F., Asem A. S., Zaher M. A., and Fahiem A. M. “Detecting Plagiarism in Arabic E-Learning Using Text Mining” British Journal of Mathematics & Computer Science, 8(4), April 2015, pp. 298-308.
  • Mahmoud R., Ismail A., Fahim A., “First Order Logic in Semantic Tableau and VAMPIRE”, International Journal of Engineering Sciences & Research Technology, 3(9), 2014, pp. 528-534.
  • A. “Parallel Implementation of K-Means on Multi-Core Processors”, GESJ: Computer Science and Telecommunications No. 1(41), 2014, pp. 52-60.
  • Fahim A., Salem A., Torkey F., Ramadan M., and Saake G., “Scalable Varied Density Clustering Algorithm for Large Datasets” J. Software Engineering & Applications, June 2010, 3, pp. 593-602.
  • Fahim A., Saake G., Salem A., Torkey F., and Ramadan M., “Enhanced Density Based Spatial clustering of Application with Noise” The 2009 International Conference on Data Mining, Las Vegas, Nevada, USA, July 2009, pp. 517-523.
  • Fahim A., Saake G., Salem A., Torkey F., and Ramadan M., “Improved DBSCAN for spatial databases with noise and different densities”, Georgian Electronic Scientific Journal: Computer Science and Telecommunications Vol. 3(20) 2009, pp. 53-60.
  • Fahim A., Salem A., Torkey F., Ramadan M., and Saake G., “An Efficient k-means with Good Initial Starting Points”, Georgian Electronic Scientific Journal: Computer Science and Telecommunications Vol. 2(19) 2009, pp. 47-57.
  • Fahim A., Saake G., Salem A., Torkey F., and Ramadan M., “K-Means for Spherical Clusters with Large Variance in Sizes”, proceedings of World Academy of Science, Engineering, and Technology, Volume 35, November 2008, pp. 177-182.
  • Fahim A., Saake G., Salem A., Torkey F., and Ramadan M., “DCBOR: A Density Clustering Based on Outlier Removal”, proceedings of World Academy of Science, Engineering and Technology, Volume 35, November 2008, pp. 171-176.
  • Fahim A., Salem A., Torkey F., and Ramadan M., “Hierarchical Clustering Based on K-Means as Local Sample (HCKM)” International Journal of Soft Computing Applications, vol. (1) 2007, pp.84-96.
  • Fahim A., Salem A., Torkey F., and Ramadan M., “Density Clustering Based on Radius of Data (DCBRD)” International Journal of Applied Mathematics and Computer Sciences Vol. 3 (2) 2007, pp. 80-85.
  • Fahim A., Salem A., Torkey F., and Ramadan M., “An efficient enhanced k-means clustering algorithm” Journal of Zhejiang University SCIENCE A, vol. 7(10), 2006, pp.1626-1633.

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